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  • Google Analytics: How can I traffic and referrals from iPad applications?

    - by kayaker243
    In Google Analytics, there is extensive information on the mobile device, version and browser version. However, this doesn't seem to go beyond the mobile browser. I would like to determine which application is responsible for visits to my site. Specifically, I want to know how many visits are coming from zite. http://www.handsetdetection.com/properties/vendormodel/Apple/iPad/page:4 seems to indicate this information is probably available, where/does Google Analytics expose this?

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  • What is an easy way to see how often recently added pages are viewed in google analytics?

    - by cboettig
    Google Analytics makes it very easy to see the number of views of the most-viewed pages, but I cannot figure out how to see the number of views a particular page has received, or the number of views of recently added pages (e.g. blog posts). Is it possible to sort the pageviews list by date the page was added? Can this be done without having to externally create a list of recent pages and use the analytics API?

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  • Posterous instructions for adding Google Analytics do not cover the code snippet to be pasted in the <head>

    - by Kit
    The Posterous instructions for adding Google Analytics ends with pasting the Google Analytics Domain ID into the settings page. However, the instructions given by Google tell me to paste some JavaScript code into the <head>. How do I get around with this? Do I need to paste the JavaScript code? If I do need to paste the JavaScript code, can I just paste it into the custom HTML/CSS style specification of my Posterous Space?

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  • Code bases for desktop and mobile versions of the same app

    - by Code-Guru
    I have written a small Java Swing desktop application. It seems like a natural step to port it to Android since I am interested in learning how to program for that platform. I believe that I can reuse some of my existing code base. (Of course, exactly how much reuse I can get out of it will only be determined as I start coding the Android app.) Currently I am hosting my Java Swing app on Sourceforge.net and use Git for version control. As I start creating the Android app, I am considering two options: Add the Android code to my existing repository, creating separate directories and Java packages for the Android-specific code and resources. Create a new Sourceforge project (or even host a new one) and creating a new Git repository. a. With a new repository, I can simply add the files from my original project that I will reuse. (I don't particularly like this option as it will be difficult to modify both copies of the same file in both repositories.) b. Or I can branch the original repository. This adds the difficulty of merging changes of shared source files. Mostly I am trying to decide between choices 1. and 2b. If I'm going to branch the existing repository, what advantages are there to hosting it as a separate SF project (or even using another OSS hosting service) as opposed to keeping all my source code in the current SF project?

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  • How do you put price on your source code?

    - by deviDave
    I was asked to sell the source code of small utility app I did years ago with existing users of this app. I tried investigating how to put price on the source code and haven't come up with a good solution so far. I first tried searching the net, but information I found there are somehow far from reality. Then I found a few people how also sold their source code with users as well. But their price seems unrealistic (too high). For example, one person had an app which price was around $200 for 1 user and he had 80 users. He sold the source with users for $30k. How did he come up with this price? Is it a good price if I charge the code by formula: num_of_users x app_price + app_price x num_of_new_users_in_one_year ? This means that I count the price by selling each user for the price of the app then adding the amount of money I earn in 1 year from this app. If this is a good formula, what shall I do with sources who do not have users yet?

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  • Generating EF Code First model classes from an existing database

    - by Jon Galloway
    Entity Framework Code First is a lightweight way to "turn on" data access for a simple CLR class. As the name implies, the intended use is that you're writing the code first and thinking about the database later. However, I really like the Entity Framework Code First works, and I want to use it in existing projects and projects with pre-existing databases. For example, MVC Music Store comes with a SQL Express database that's pre-loaded with a catalog of music (including genres, artists, and songs), and while it may eventually make sense to load that seed data from a different source, for the MVC 3 release we wanted to keep using the existing database. While I'm not getting the full benefit of Code First - writing code which drives the database schema - I can still benefit from the simplicity of the lightweight code approach. Scott Guthrie blogged about how to use entity framework with an existing database, looking at how you can override the Entity Framework Code First conventions so that it can work with a database which was created following other conventions. That gives you the information you need to create the model classes manually. However, it turns out that with Entity Framework 4 CTP 5, there's a way to generate the model classes from the database schema. Once the grunt work is done, of course, you can go in and modify the model classes as you'd like, but you can save the time and frustration of figuring out things like mapping SQL database types to .NET types. Note that this template requires Entity Framework 4 CTP 5 or later. You can install EF 4 CTP 5 here. Step One: Generate an EF Model from your existing database The code generation system in Entity Framework works from a model. You can add a model to your existing project and delete it when you're done, but I think it's simpler to just spin up a separate project to generate the model classes. When you're done, you can delete the project without affecting your application, or you may choose to keep it around in case you have other database schema updates which require model changes. I chose to add the Model classes to the Models folder of a new MVC 3 application. Right-click the folder and select "Add / New Item..."   Next, select ADO.NET Entity Data Model from the Data Templates list, and name it whatever you want (the name is unimportant).   Next, select "Generate from database." This is important - it's what kicks off the next few steps, which read your database's schema.   Now it's time to point the Entity Data Model Wizard at your existing database. I'll assume you know how to find your database - if not, I covered that a bit in the MVC Music Store tutorial section on Models and Data. Select your database, uncheck the "Save entity connection settings in Web.config" (since we won't be using them within the application), and click Next.   Now you can select the database objects you'd like modeled. I just selected all tables and clicked Finish.   And there's your model. If you want, you can make additional changes here before going on to generate the code.   Step Two: Add the DbContext Generator Like most code generation systems in Visual Studio lately, Entity Framework uses T4 templates which allow for some control over how the code is generated. K Scott Allen wrote a detailed article on T4 Templates and the Entity Framework on MSDN recently, if you'd like to know more. Fortunately for us, there's already a template that does just what we need without any customization. Right-click a blank space in the Entity Framework model surface and select "Add Code Generation Item..." Select the Code groupt in the Installed Templates section and pick the ADO.NET DbContext Generator. If you don't see this listed, make sure you've got EF 4 CTP 5 installed and that you're looking at the Code templates group. Note that the DbContext Generator template is similar to the EF POCO template which came out last year, but with "fix up" code (unnecessary in EF Code First) removed.   As soon as you do this, you'll two terrifying Security Warnings - unless you click the "Do not show this message again" checkbox the first time. It will also be displayed (twice) every time you rebuild the project, so I checked the box and no immediate harm befell my computer (fingers crossed!).   Here's the payoff: two templates (filenames ending with .tt) have been added to the project, and they've generated the code I needed.   The "MusicStoreEntities.Context.tt" template built a DbContext class which holds the entity collections, and the "MusicStoreEntities.tt" template build a separate class for each table I selected earlier. We'll customize them in the next step. I recommend copying all the generated .cs files into your application at this point, since accidentally rebuilding the generation project will overwrite your changes if you leave them there. Step Three: Modify and use your POCO entity classes Note: I made a bunch of tweaks to my POCO classes after they were generated. You don't have to do any of this, but I think it's important that you can - they're your classes, and EF Code First respects that. Modify them as you need for your application, or don't. The Context class derives from DbContext, which is what turns on the EF Code First features. It holds a DbSet for each entity. Think of DbSet as a simple List, but with Entity Framework features turned on.   //------------------------------------------------------------------------------ // <auto-generated> // This code was generated from a template. // // Changes to this file may cause incorrect behavior and will be lost if // the code is regenerated. // </auto-generated> //------------------------------------------------------------------------------ namespace EF_CodeFirst_From_Existing_Database.Models { using System; using System.Data.Entity; public partial class Entities : DbContext { public Entities() : base("name=Entities") { } public DbSet<Album> Albums { get; set; } public DbSet<Artist> Artists { get; set; } public DbSet<Cart> Carts { get; set; } public DbSet<Genre> Genres { get; set; } public DbSet<OrderDetail> OrderDetails { get; set; } public DbSet<Order> Orders { get; set; } } } It's a pretty lightweight class as generated, so I just took out the comments, set the namespace, removed the constructor, and formatted it a bit. Done. If I wanted, though, I could have added or removed DbSets, overridden conventions, etc. using System.Data.Entity; namespace MvcMusicStore.Models { public class MusicStoreEntities : DbContext { public DbSet Albums { get; set; } public DbSet Genres { get; set; } public DbSet Artists { get; set; } public DbSet Carts { get; set; } public DbSet Orders { get; set; } public DbSet OrderDetails { get; set; } } } Next, it's time to look at the individual classes. Some of mine were pretty simple - for the Cart class, I just need to remove the header and clean up the namespace. //------------------------------------------------------------------------------ // // This code was generated from a template. // // Changes to this file may cause incorrect behavior and will be lost if // the code is regenerated. // //------------------------------------------------------------------------------ namespace EF_CodeFirst_From_Existing_Database.Models { using System; using System.Collections.Generic; public partial class Cart { // Primitive properties public int RecordId { get; set; } public string CartId { get; set; } public int AlbumId { get; set; } public int Count { get; set; } public System.DateTime DateCreated { get; set; } // Navigation properties public virtual Album Album { get; set; } } } I did a bit more customization on the Album class. Here's what was generated: //------------------------------------------------------------------------------ // // This code was generated from a template. // // Changes to this file may cause incorrect behavior and will be lost if // the code is regenerated. // //------------------------------------------------------------------------------ namespace EF_CodeFirst_From_Existing_Database.Models { using System; using System.Collections.Generic; public partial class Album { public Album() { this.Carts = new HashSet(); this.OrderDetails = new HashSet(); } // Primitive properties public int AlbumId { get; set; } public int GenreId { get; set; } public int ArtistId { get; set; } public string Title { get; set; } public decimal Price { get; set; } public string AlbumArtUrl { get; set; } // Navigation properties public virtual Artist Artist { get; set; } public virtual Genre Genre { get; set; } public virtual ICollection Carts { get; set; } public virtual ICollection OrderDetails { get; set; } } } I removed the header, changed the namespace, and removed some of the navigation properties. One nice thing about EF Code First is that you don't have to have a property for each database column or foreign key. In the Music Store sample, for instance, we build the app up using code first and start with just a few columns, adding in fields and navigation properties as the application needs them. EF Code First handles the columsn we've told it about and doesn't complain about the others. Here's the basic class: using System.ComponentModel; using System.ComponentModel.DataAnnotations; using System.Web.Mvc; using System.Collections.Generic; namespace MvcMusicStore.Models { public class Album { public int AlbumId { get; set; } public int GenreId { get; set; } public int ArtistId { get; set; } public string Title { get; set; } public decimal Price { get; set; } public string AlbumArtUrl { get; set; } public virtual Genre Genre { get; set; } public virtual Artist Artist { get; set; } public virtual List OrderDetails { get; set; } } } It's my class, not Entity Framework's, so I'm free to do what I want with it. I added a bunch of MVC 3 annotations for scaffolding and validation support, as shown below: using System.ComponentModel; using System.ComponentModel.DataAnnotations; using System.Web.Mvc; using System.Collections.Generic; namespace MvcMusicStore.Models { [Bind(Exclude = "AlbumId")] public class Album { [ScaffoldColumn(false)] public int AlbumId { get; set; } [DisplayName("Genre")] public int GenreId { get; set; } [DisplayName("Artist")] public int ArtistId { get; set; } [Required(ErrorMessage = "An Album Title is required")] [StringLength(160)] public string Title { get; set; } [Required(ErrorMessage = "Price is required")] [Range(0.01, 100.00, ErrorMessage = "Price must be between 0.01 and 100.00")] public decimal Price { get; set; } [DisplayName("Album Art URL")] [StringLength(1024)] public string AlbumArtUrl { get; set; } public virtual Genre Genre { get; set; } public virtual Artist Artist { get; set; } public virtual List<OrderDetail> OrderDetails { get; set; } } } The end result was that I had working EF Code First model code for the finished application. You can follow along through the tutorial to see how I built up to the finished model classes, starting with simple 2-3 property classes and building up to the full working schema. Thanks to Diego Vega (on the Entity Framework team) for pointing me to the DbContext template.

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  • Is there any open source code analyzer for java which I can adopt my software metrics algorithm on it?

    - by daneshkohan
    I am doing my masters dissertation and I have conducted a software metrics. I need to adopt my metrics on an open source tool. I have found PMD and check style on sourceforge.net but there is not adequate explanation about their codes. However, I couldn't to find their source code to customize them. I will be appreciated, if you introduce one open source tool for java which I can customize it's code.

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  • OS Analytics - Deep Dive Into Your OS

    - by Eran_Steiner
    Enterprise Manager Ops Center provides a feature called "OS Analytics". This feature allows you to get a better understanding of how the Operating System is being utilized. You can research the historical usage as well as real time data. This post will show how you can benefit from OS Analytics and how it works behind the scenes. We will have a call to discuss this blog - please join us!Date: Thursday, November 1, 2012Time: 11:00 am, Eastern Daylight Time (New York, GMT-04:00)1. Go to https://oracleconferencing.webex.com/oracleconferencing/j.php?ED=209833067&UID=1512092402&PW=NY2JhMmFjMmFh&RT=MiMxMQ%3D%3D2. If requested, enter your name and email address.3. If a password is required, enter the meeting password: oracle1234. Click "Join". To join the teleconference:Call-in toll-free number:       1-866-682-4770  (US/Canada)      Other countries:                https://oracle.intercallonline.com/portlets/scheduling/viewNumbers/viewNumber.do?ownerNumber=5931260&audioType=RP&viewGa=true&ga=ONConference Code:       7629343#Security code:            7777# Here is quick summary of what you can do with OS Analytics in Ops Center: View historical charts and real time value of CPU, memory, network and disk utilization Find the top CPU and Memory processes in real time or at a certain historical day Determine proper monitoring thresholds based on historical data View Solaris services status details Drill down into a process details View the busiest zones if applicable Where to start To start with OS Analytics, choose the OS asset in the tree and click the Analytics tab. You can see the CPU utilization, Memory utilization and Network utilization, along with the current real time top 5 processes in each category (click the image to see a larger version):  In the above screen, you can click each of the top 5 processes to see a more detailed view of that process. Here is an example of one of the processes: One of the cool things is that you can see the process tree for this process along with some port binding and open file descriptors. On Solaris machines with zones, you get an extra level of tabs, allowing you to get more information on the different zones: This is a good way to see the busiest zones. For example, one zone may not take a lot of CPU but it can consume a lot of memory, or perhaps network bandwidth. To see the detailed Analytics for each of the zones, simply click each of the zones in the tree and go to its Analytics tab. Next, click the "Processes" tab to see real time information of all the processes on the machine: An interesting column is the "Target" column. If you configured Ops Center to work with Enterprise Manager Cloud Control, then the two products will talk to each other and Ops Center will display the correlated target from Cloud Control in this table. If you are only using Ops Center - this column will remain empty. Next, if you view a Solaris machine, you will have a "Services" tab: By default, all services will be displayed, but you can choose to display only certain states, for example, those in maintenance or the degraded ones. You can highlight a service and choose to view the details, where you can see the Dependencies, Dependents and also the location of the service log file (not shown in the picture as you need to scroll down to see the log file). The "Threshold" tab is particularly helpful - you can view historical trends of different monitored values and based on the graph - determine what the monitoring values should be: You can ask Ops Center to suggest monitoring levels based on the historical values or you can set your own. The different colors in the graph represent the current set levels: Red for critical, Yellow for warning and Blue for Information, allowing you to quickly see how they're positioned against real data. It's important to note that when looking at longer periods, Ops Center smooths out the data and uses averages. So when looking at values such as CPU Usage, try shorter time frames which are more detailed, such as one hour or one day. Applying new monitoring values When first applying new values to monitored attributes - a popup will come up asking if it's OK to get you out of the current Monitoring Policy. This is OK if you want to either have custom monitoring for a specific machine, or if you want to use this current machine as a "Gold image" and extract a Monitoring Policy from it. You can later apply the new Monitoring Policy to other machines and also set it as a default Monitoring Profile. Once you're done with applying the different monitoring values, you can review and change them in the "Monitoring" tab. You can also click the "Extract a Monitoring Policy" in the actions pane on the right to save all the new values to a new Monitoring Policy, which can then be found under "Plan Management" -> "Monitoring Policies". Visiting the past Under the "History" tab you can "go back in time". This is very helpful when you know that a machine was busy a few hours ago (perhaps in the middle of the night?), but you were not around to take a look at it in real time. Here's a view into yesterday's data on one of the machines: You can see an interesting CPU spike happening at around 3:30 am along with some memory use. In the bottom table you can see the top 5 CPU and Memory consumers at the requested time. Very quickly you can see that this spike is related to the Solaris 11 IPS repository synchronization process using the "pkgrecv" command. The "time machine" doesn't stop here - you can also view historical data to determine which of the zones was the busiest at a given time: Under the hood The data collected is stored on each of the agents under /var/opt/sun/xvm/analytics/historical/ An "os.zip" file exists for the main OS. Inside you will find many small text files, named after the Epoch time stamp in which they were taken If you have any zones, there will be a file called "guests.zip" containing the same small files for all the zones, as well as a folder with the name of the zone along with "os.zip" in it If this is the Enterprise Controller or the Proxy Controller, you will have folders called "proxy" and "sat" in which you will find the "os.zip" for that controller The actual script collecting the data can be viewed for debugging purposes as well: On Linux, the location is: /opt/sun/xvmoc/private/os_analytics/collect On Solaris, the location is /opt/SUNWxvmoc/private/os_analytics/collect If you would like to redirect all the standard error into a file for debugging, touch the following file and the output will go into it: # touch /tmp/.collect.stderr   The temporary data is collected under /var/opt/sun/xvm/analytics/.collectdb until it is zipped. If you would like to review the properties for the Analytics, you can view those per each agent in /opt/sun/n1gc/lib/XVM.properties. Find the section "Analytics configurable properties for OS and VSC" to view the Analytics specific values. I hope you find this helpful! Please post questions in the comments below. Eran Steiner

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  • Is commented out code really always bad?

    - by nikie
    Practically every text on code quality I've read agrees that commented out code is a bad thing. The usual example is that someone changed a line of code and left the old line there as a comment, apparently to confuse people who read the code later on. Of course, that's a bad thing. But I often find myself leaving commented out code in another situation: I write a computational-geometry or image processing algorithm. To understand this kind of code, and to find potential bugs in it, it's often very helpful to display intermediate results (e.g. draw a set of points to the screen or save a bitmap file). Looking at these values in the debugger usually means looking at a wall of numbers (coordinates, raw pixel values). Not very helpful. Writing a debugger visualizer every time would be overkill. I don't want to leave the visualization code in the final product (it hurts performance, and usually just confuses the end user), but I don't want to loose it, either. In C++, I can use #ifdef to conditionally compile that code, but I don't see much differnce between this: /* // Debug Visualization: draw set of found interest points for (int i=0; i<count; i++) DrawBox(pts[i].X, pts[i].Y, 5,5); */ and this: #ifdef DEBUG_VISUALIZATION_DRAW_INTEREST_POINTS for (int i=0; i<count; i++) DrawBox(pts[i].X, pts[i].Y, 5,5); #endif So, most of the time, I just leave the visualization code commented out, with a comment saying what is being visualized. When I read the code a year later, I'm usually happy I can just uncomment the visualization code and literally "see what's going on". Should I feel bad about that? Why? Is there a superior solution? Update: S. Lott asks in a comment Are you somehow "over-generalizing" all commented code to include debugging as well as senseless, obsolete code? Why are you making that overly-generalized conclusion? I recently read Robert Glass' "Clean Code", which says: Few practices are as odious as commenting-out code. Don't do this!. I've looked at the paragraph in the book again (p. 68), there's no qualification, no distinction made between different reasons for commenting out code. So I wondered if this rule is over-generalizing (or if I misunderstood the book) or if what I do is bad practice, for some reason I didn't know.

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  • If your unit test code "smells" does it really matter?

    - by Buttons840
    Usually I just throw my unit tests together using copy and paste and all kind of other bad practices. The unit tests usually end up looking quite ugly, they're full of "code smell," but does this really matter? I always tell myself as long as the "real" code is "good" that's all that matters. Plus, unit testing usually requires various "smelly hacks" like stubbing functions. How concerned should I be over poorly designed ("smelly") unit tests?

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  • Google Analytics se rapproche des Google Apps, des scripts génèrent automatiquement des rapports d'analyse d'audience

    Google Analytics se rapproche des Google Apps Des scripts génèrent automatiquement des rapports d'analyse d'audience avec les outils bureautiques en ligne Dans un billet du blog officiel de Google Analytics, Google vient d'annoncer la sortie d'une nouvelle fonctionnalité dans Google Analytics qui permettra d'intégrer plus facilement les données du service d'analyse d'audience Web dans un script Google Apps, une fonctionnalité qui d'après Google était très demandée par les utilisateurs. Les produits concernés sont Google Docs, Sites et Spreadsheets. On peut voir comme illustré ci-dessus, comment les données de Google Analytics ont été capturées par un script Google Apps et affichées dans ...

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  • Analytics: Test events not showing up - how to troubleshoot?

    - by David Parks
    I've got 3 profiles: Master, Raw Data, and Test, on the Test profile I have no filters configured. I want to test using some events. I created a local HTML file as shown below to generate some test data that I could play with in Analytics. But the events never showed up in Analytics. I wonder what I might be doing wrong? Is the lack of a domain an issue maybe? <html><head></head><body>Login_popup_complete_Facebook <script type="text/javascript"> var _gaq = _gaq || []; _gaq.push(['_setAccount', 'UA-28554309-1']); _gaq.push(['_trackPageview']); _gaq.push(['_trackEvent', 'Login popup completed', 'Facebook']); (function() { var ga = document.createElement('script'); ga.type = 'text/javascript'; ga.async = true; ga.src = ('https:' == document.location.protocol ? 'https://ssl' : 'http://www') + '.google-analytics.com/ga.js'; var s = document.getElementsByTagName('script')[0]; s.parentNode.insertBefore(ga, s); })(); </script> </body></html>

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  • Google Analytics async=true seems wrong in the Google documentation?

    - by leeand00
    In the Google Analytics async example, they state that in order to include more than one tracker, you need to setup your pages for asyncrous tracking, and they do so using the following code: <script type="text/javascript"> _gaq.push( ['_setAccount', 'UA-XXXXX-1'], ['_trackPageview'], ['b._setAccount', 'UA-XXXXX-2'], ['b._trackPageview'] ); (function() { var ga = document.createElement('script'); ga.type = 'text/javascript'; ga.async = true; ga.src = ('https:' == document.location.protocol ? 'https://ssl' : 'http://www') + '.google-analytics.com/ga.js'; var s = document.getElementsByTagName('script')[0]; s.parentNode.insertBefore(ga, s); })(); </script> The second tracker is not receiving any results. After looking at my tracking codes to ensure they are correct, I noticed that the ga.async = true statement is specified differently most of the time and is never set to a value of true, it's often set to async but never true. Could this be stopping my Analytics data from posting to the second tracker? or might it be something else? Also what calls should I look for in the Net tab in firebug to ensure that GA is being called when the page loads?

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  • Is there an elegant way to track multiple domains under separate accounts with google analytics?

    - by J_M_J
    I have a situation where a content management system uses the same template for multiple websites with different domain names and I can't make a separate template for each. However, each website needs to be tracked with Google analytics. Would this be appropriate to track each domain like this by putting in some conditional code? And would this be robust enough not to break? Is there a more elegant way to do this? <script type="text/javascript"> var _gaq = _gaq || []; switch (location.hostname){ case 'www.aaa.com': _gaq.push(['_setAccount', 'UA-xxxxxxx-1']); break; case 'www.bbb.com': _gaq.push(['_setAccount', 'UA-xxxxxxx-2']); break; case 'www.ccc.com': _gaq.push(['_setAccount', 'UA-xxxxxxx-3']); break; } _gaq.push(['_trackPageview']); (function() { var ga = document.createElement('script'); ga.type = 'text/javascript'; ga.async = true; ga.src = ('https:' == document.location.protocol ? 'https://ssl' : 'http://www') + '.google-analytics.com/ga.js'; (document.getElementsByTagName('head')[0] || document.getElementsByTagName('body')[0]).appendChild(ga); })(); </script> Just to be clear, each website is a separate domain name and must be tracked separately, NOT different domains with same pages on one analytics profile.

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  • Google Analytics API data for goals (funnels) doesn't match - how do they reconcile?

    - by bkgraham
    I have a Google Analytics account with a well-functioning funnel made up of 4 goals. I can query the API and get the data out, but it does not match the funnel report in Analytics. Without getting into specific values, I can give you an example with faked data. Here's how the funnel might look: Shopping Cart 100 > 100 > 20 80 (80%) Address Page 5 > 85 > 25 60 (71%) Payment Page 2 > 62 > 10 52 (84%) Checkout 1 > 53 (49.07% funnel conversion rate) Okay, so you would expect the API to output data something like this: goal1Starts goal1Completions goal1Abandons 100 80 20 goal2Starts goal2Completions goal2Abandons 85 60 25 goal3Starts goal3Completions goal3Abandons 62 52 10 goal4Starts goal4Completions goal4Abandons 53 53 0 Instead, it's different. Firstly, the abandons are associated with the following goal (so goal1 always has 0 abandons and goal4 always has 0 abandons. Okay, I can work with that. What's confusing is that the numbers are always a little different. The goal1Completions always match the report, as do the goal4Completions, but everything else is off by a small amount. Sometimes it's only 2 visits, other times it's off by 50. For the report above here's the kind of results I would tend to get: goal1Starts goal1Completions goal1Abandons 100 100 0 goal2Starts goal2Completions goal2Abandons 105 84 21 goal3Starts goal3Completions goal3Abandons 90 65 25 goal4Starts goal4Completions goal4Abandons 58 53 5 Here's what I know: Goal(n)Completions + Goal(n)Abandons = Goal(n)Starts Goal(n)Starts = Goal(n-1)Completions Goal(n)Starts - Goal(n-1)Completions != reported number entering at that level That third one is particularly disappointing. So, here's my question: What data do I need to pull from the API in order to recreate the counts in the Funnel report in Google Analytics? I don't need the pages exited to entering from - just the counts at every level.

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  • Problem with Google Analytics for Android : "Dispatcher thinks it finished, but there were 543 faile

    - by PHP_Jedi
    Anyone know how to solve this problem? 03-23 13:03:20.585: WARN/googleanalytics(3430): Problem with socket or streams. 03-23 13:03:20.585: WARN/googleanalytics(3430): java.net.SocketException: Broken pipe 03-23 13:03:20.585: WARN/googleanalytics(3430): at org.apache.harmony.luni.platform.OSNetworkSystem.sendStreamImpl(Native Method) 03-23 13:03:20.585: WARN/googleanalytics(3430): at org.apache.harmony.luni.platform.OSNetworkSystem.sendStream(OSNetworkSystem.java:498) 03-23 13:03:20.585: WARN/googleanalytics(3430): at org.apache.harmony.luni.net.PlainSocketImpl.write(PlainSocketImpl.java:585) 03-23 13:03:20.585: WARN/googleanalytics(3430): at org.apache.harmony.luni.net.SocketOutputStream.write(SocketOutputStream.java:59) 03-23 13:03:20.585: WARN/googleanalytics(3430): at org.apache.http.impl.io.AbstractSessionOutputBuffer.flushBuffer(AbstractSessionOutputBuffer.java:87) 03-23 13:03:20.585: WARN/googleanalytics(3430): at org.apache.http.impl.io.AbstractSessionOutputBuffer.flush(AbstractSessionOutputBuffer.java:94) 03-23 13:03:20.585: WARN/googleanalytics(3430): at org.apache.http.impl.AbstractHttpClientConnection.doFlush(AbstractHttpClientConnection.java:168) 03-23 13:03:20.585: WARN/googleanalytics(3430): at org.apache.http.impl.AbstractHttpClientConnection.flush(AbstractHttpClientConnection.java:173) 03-23 13:03:20.585: WARN/googleanalytics(3430): at com.google.android.apps.analytics.PipelinedRequester.sendRequests(Unknown Source) 03-23 13:03:20.585: WARN/googleanalytics(3430): at com.google.android.apps.analytics.NetworkDispatcher$DispatcherThread$AsyncDispatchTask.dispatchSomePendingEvents(Unknown Source) 03-23 13:03:20.585: WARN/googleanalytics(3430): at com.google.android.apps.analytics.NetworkDispatcher$DispatcherThread$AsyncDispatchTask.run(Unknown Source) 03-23 13:03:20.585: WARN/googleanalytics(3430): at android.os.Handler.handleCallback(Handler.java:587) 03-23 13:03:20.585: WARN/googleanalytics(3430): at android.os.Handler.dispatchMessage(Handler.java:92) 03-23 13:03:20.585: WARN/googleanalytics(3430): at android.os.Looper.loop(Looper.java:123) 03-23 13:03:20.585: WARN/googleanalytics(3430): at android.os.HandlerThread.run(HandlerThread.java:60) 03-23 13:03:21.088: WARN/googleanalytics(3430): Dispatcher thinks it finished, but there were 543 failed events Specially the last line explain why there is lost so much data, as the dispatcher thinks it is done, but have 543 events not dispatched... The application have a good internet connection and there is no problem reaching the app server-side api. I see in analytics that lots of startups and click-events the past few days are lost, even I know the traffic is normal since i can see statistics from the the server api. In the analytics reports I see a day by day under-reporting. So the problems seems to be spreading/growing to all the devices using this application. Im wondering why google does not answer this in their mail-groups - several people have complained about this...well, well... I found this thread relevant: http://stackoverflow.com/questions/682560/java-net-socketexception-broken-pipe But, I'm still not sure if there is anything I can do to fix it or not. If there is nothing I can do to fix it, I guess its not my fault that it got broken. But i got a feeling it is, since the problem got dramatically worse on the last deploy to Android market. Anyone else with experience on Google Analytics for android ?

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  • Google Analytics API Authentication Speedup

    - by Paulo
    I'm using a Google Analytics API Class in PHP made by Doug Tan to retrieve Analytics data from a specific profile. Check the url here: http://code.google.com/intl/nl/apis/analytics/docs/gdata/gdataArticlesCode.html When you create a new instance of the class you can add the profile id, your google account + password, a daterange and whatever dimensions and metrics you want to pick up from analytics. For example i want to see how many people visited my website from different country's in 2009. //make a new instance from the class $ga = new GoogleAnalytics($email,$password); //website profile example id $ga->setProfile('ga:4329539'); //date range $ga->setDateRange('2010-02-01','2010-03-08'); //array to receive data from metrics and dimensions $array = $ga->getReport( array('dimensions'=>('ga:country'), 'metrics'=>('ga:visits'), 'sort'=>'-ga:visits' ) ); Now you know how this API class works, i'd like to adress my problem. Speed. It takes alot of time to retrieve multiple types of data from the analytics database, especially if you're building different arrays with different metrics/dimensions. How can i speed up this process? Is it possible to store all the possible data in a cache so i am able to retrieve the data without loading it over and over again?

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  • XMLHttpRequest() and Google Analytics Tracking

    - by sjw
    I have implemented an XMLHttpRequest() call to a standalone html page which simply has an html, title & body tag which Google Analytics Tracking code. I want to track when someone makes a request to display information (i.e. phone number) to try and understand what portion of people look at my directory versus obtaining a phone number to make a call. It is very simple code: var xhReq = new XMLHttpRequest(); xhReq.open("GET", "/registerPhoneClick.htm?id=" + id, false); xhReq.send(null); var serverResponse = xhReq.responseText Yet I cannot see the "hit" in Analytics... Has anyone had this issue? All the analytics tracking code does is call: <script type="text/javascript"> var gaJsHost = (("https:" == document.location.protocol) ? "https://ssl." : "http://www."); document.write(unescape("%3Cscript src='" + gaJsHost + "google-analytics.com/ga.js' type='text/javascript'%3E%3C/script%3E")); </script> <script type="text/javascript"> try { var pageTracker = _gat._getTracker("UA-XXXXXXX"); pageTracker._trackPageview(); } catch(err) {}</script> So realistically, my XmlHTTPRequest() calls an htm file within which a script is execute to make an outbound call to Google Analytics. Is there any reason why an XmlHTTPRequest() would not execute this? Does an XmlHTTPRequest() still bring the code to the client before execution? Help Please

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  • Integrate Google Analytics Tracking Into IOS App

    - by user1781040
    I would like to Integrate Google Analytics Tracking into my IOS APP. I have integrated Google Analytics Library and Add It To my Application. cf. https://developers.google.com/analytics/devguides/collection/ios/v2/ into my code to tracking my view contact - (void)viewDidLoad { [super viewDidLoad]; // Do any additional setup after loading the view from its nib. self.trackPageView = @"Contact Screen"; // } A have this error "Property 'TrackPageView' not found on object of the type 'ContactViewController'" Please help me

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  • How to read Scala code with lots of implicits?

    - by Petr Pudlák
    Consider the following code fragment (adapted from http://stackoverflow.com/a/12265946/1333025): // Using scalaz 6 import scalaz._, Scalaz._ object Example extends App { case class Container(i: Int) def compute(s: String): State[Container, Int] = state { case Container(i) => (Container(i + 1), s.toInt + i) } val d = List("1", "2", "3") type ContainerState[X] = State[Container, X] println( d.traverse[ContainerState, Int](compute) ! Container(0) ) } I understand what it does on high level. But I wanted to trace what exactly happens during the call to d.traverse at the end. Clearly, List doesn't have traverse, so it must be implicitly converted to another type that does. Even though I spent a considerable amount of time trying to find out, I wasn't very successful. First I found that there is a method in scalaz.Traversable traverse[F[_], A, B] (f: (A) => F[B], t: T[A])(implicit arg0: Applicative[F]): F[T[B]] but clearly this is not it (although it's most likely that "my" traverse is implemented using this one). After a lot of searching, I grepped scalaz source codes and I found scalaz.MA's method traverse[F[_], B] (f: (A) => F[B])(implicit a: Applicative[F], t: Traverse[M]): F[M[B]] which seems to be very close. Still I'm missing to what List is converted in my example and if it uses MA.traverse or something else. The question is: What procedure should I follow to find out what exactly is called at d.traverse? Having even such a simple code that is so hard analyze seems to me like a big problem. Am I missing something very simple? How should I proceed when I want to understand such code that uses a lot of imported implicits? Is there some way to ask the compiler what implicits it used? Or is there something like Hoogle for Scala so that I can search for a method just by its name?

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  • How to use Google Analytics to track a development and production versions of the same site on different servers?

    - by Abe
    I have a website with two versions, one for production and one for development (testing new features). All of the code is under version control and the websites are on separate servers. Currently, I have the same Google Analytics Tracking code used on both sites. Since the code is under version control, it would be ideal to either have an if I am on production, use this code; else if on development server use that code clause. But I suspect that Google makes it easier to do something like this. I see that there are many ways to configure a GA tracking code, e.g. "a single domain" vs. "multiple top level domains". But it is not clear to me how to set this up. Also, if tracking code configured for a single domain has been on the development server, have I been picking up traffic to both sites, or does GA just ignore the second domain that I haven't registered?

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  • VS 2012 Code Review &ndash; Before Check In OR After Check In?

    - by Tarun Arora
    “Is Code Review Important and Effective?” There is a consensus across the industry that code review is an effective and practical way to collar code inconsistency and possible defects early in the software development life cycle. Among others some of the advantages of code reviews are, Bugs are found faster Forces developers to write readable code (code that can be read without explanation or introduction!) Optimization methods/tricks/productive programs spread faster Programmers as specialists "evolve" faster It's fun “Code review is systematic examination (often known as peer review) of computer source code. It is intended to find and fix mistakes overlooked in the initial development phase, improving both the overall quality of software and the developers' skills. Reviews are done in various forms such as pair programming, informal walkthroughs, and formal inspections.” Wikipedia No where does the definition mention whether its better to review code before the code has been committed to version control or after the commit has been performed. No matter which side you favour, Visual Studio 2012 allows you to request for a code review both before check in and also request for a review after check in. Let’s weigh the pros and cons of the approaches independently. Code Review Before Check In or Code Review After Check In? Approach 1 – Code Review before Check in Developer completes the code and feels the code quality is appropriate for check in to TFS. The developer raises a code review request to have a second pair of eyes validate if the code abides to the recommended best practices, will not result in any defects due to common coding mistakes and whether any optimizations can be made to improve the code quality.                                             Image 1 – code review before check in Pros Everything that gets committed to source control is reviewed. Minimizes the chances of smelly code making its way into the code base. Decreases the cost of fixing bugs, remember, the earlier you find them, the lesser the pain in fixing them. Cons Development Code Freeze – Since the changes aren’t in the source control yet. Further development can only be done off-line. The changes have not been through a CI build, hard to say whether the code abides to all build quality standards. Inconsistent! Cumbersome to track the actual code review process.  Not every change to the code base is worth reviewing, a lot of effort is invested for very little gain. Approach 2 – Code Review after Check in Developer checks in, random code reviews are performed on the checked in code.                                                      Image 2 – Code review after check in Pros The code has already passed the CI build and run through any code analysis plug ins you may have running on the build server. Instruct the developer to ensure ZERO fx cop, style cop and static code analysis before check in. Code is cleaner and smell free even before the code review. No Offline development, developers can continue to develop against the source control. Cons Bad code can easily make its way into the code base. Since the review take place much later in the cycle, the cost of fixing issues can prove to be much higher. Approach 3 – Hybrid Approach The community advocates a more hybrid approach, a blend of tooling and human accountability quotient.                                                               Image 3 – Hybrid Approach 1. Code review high impact check ins. It is not possible to review everything, by setting up code review check in policies you can end up slowing your team. More over, the code that you are reviewing before check in hasn't even been through a green CI build either. 2. Tooling. Let the tooling work for you. By running static analysis, fx cop, style cop and other plug ins on the build agent, you can identify the real issues that in my opinion can't possibly be identified using human reviews. Configure the tooling to report back top 10 issues every day. Mandate the manual code review of individuals who keep making it to this list of shame more often. 3. During Merge. I would prefer eliminating some of the other code issues during merge from Main branch to the release branch. In a scrum project this is still easier because cheery picking the merges is a possibility and the size of code being reviewed is still limited. Let the tooling work for you, if some one breaks the CI build often, put them on a gated check in build course until you see improvement. If some one appears on the top 10 list of shame generated via the build then ensure that all their code is reviewed till you see improvement. At the end of the day, the goal is to ensure that the code being delivered is top quality. By enforcing a code review before any check in, you force the developer to work offline or stay put till the review is complete. What do the experts say? So I asked a few expects what they thought of “Code Review quality gate before Checking in code?" Terje Sandstrom | Microsoft ALM MVP You mean a review quality gate BEFORE checking in code????? That would mean a lot of code staying either local or in shelvesets, and not even been through a CI build, and a green CI build being the main criteria for going further, f.e. to the review state. I would not like code laying around with no checkin’s. Having a requirement that code is checked in small pieces, 4-8 hours work max, and AT LEAST daily checkins, a manual code review comes second down the lane. I would expect review quality gates to happen before merging back to main, or before merging to release.  But that would all be on checked-in code.  Branching is absolutely one way to ease the pain.   Another way we are using is automatic quality builds, running metrics, coverage, static code analysis.  Unfortunately it takes some time, would be great to be on CI’s – but…., so it’s done scheduled every night. Based on this we get, among other stuff,  top 10 lists of suspicious code, which is then subjected to reviews.  If a person seems to be very popular on these top 10 lists, we subject every check in from that person to a review for a period. That normally helps.   None of the clients I have can afford to have every checkin reviewed, so we need to find ways around it. I don’t disagree with the nicety of having all the code reviewed, but I find it hard to find those resources in today’s enterprises. David V. Corbin | Visual Studio ALM Ranger I tend to agree with both sides. I hate having code that is not checked in, but at the same time hate having “bad” code in the repository. I have found that branching is one approach to solving this dilemma. Code is checked into the private/feature branch before the review, but is not merged over to the “official” branch until after the review. I advocate both, depending on circumstance (especially team dynamics)   - The “pre-checkin” is usually for elements that may impact the project as a whole. Think of it as another “gate” along with passing unit tests. - The “post-checkin” may very well not be at the changeset level, but correlates to a review at the “user story” level.   Again, this depends on team dynamics in play…. Robert MacLean | Microsoft ALM MVP I do not think there is no right answer for the industry as a whole. In short the question is why do you do reviews? Your question implies risk mitigation, so in low risk areas you can get away with it after check in while in high risk you need to do it before check in. An example is those new to a team or juniors need it much earlier (maybe that is before checkin, maybe that is soon after) than seniors who have shipped twenty sprints on the team. Abhimanyu Singhal | Visual Studio ALM Ranger Depends on per scenario basis. We recommend post check-in reviews when: 1. We don't want to block other checks and processes on manual code reviews. Manual reviews take time, and some pieces may not require manual reviews at all. 2. We need to trace all changes and track history. 3. We have a code promotion strategy/process in place. For risk mitigation, post checkin code can be promoted to Accepted branches. Or can be rejected. Pre Checkin Reviews are used when 1. There is a high risk factor associated 2. Reviewers are generally (most of times) have immediate availability. 3. Team does not have strict tracking needs. Simply speaking, no single process fits all scenarios. You need to select what works best for your team/project. Thomas Schissler | Visual Studio ALM Ranger This is an interesting discussion, I’m right now discussing details about executing code reviews with my teams. I see and understand the aspects you brought in, but there is another side as well, I’d like to point out. 1.) If you do reviews per check in this is not very practical as a hard rule because this will disturb the flow of the team very often or it will lead to reduce the checkin frequency of the devs which I would not accept. 2.) If you do later reviews, for example if you review PBIs, it is not easy to find out which code you should review. Either you review all changesets associate with the PBI, but then you might review code which has been changed with a later checkin and the dev maybe has already fixed the issue. Or you review the diff of the latest changeset of the PBI with the first but then you might also review changes of other PBIs. Jakob Leander | Sr. Director, Avanade In my experience, manual code review: 1. Does not get done and at the very least does not get redone after changes (regardless of intentions at start of project) 2. When a project actually do it, they often do not do it right away = errors pile up 3. Requires a lot of time discussing/defining the standard and for the team to learn it However code review is very important since e.g. even small memory leaks in a high volume web solution have big consequences In the last years I have advocated following approach for code review - Architects up front do “at least one best practice example” of each type of component and tell the team. Copy from this one. This should include error handling, logging, security etc. - Dev lead on project continuously browse code to validate that the best practices are used. Especially that patterns etc. are not broken. You can do this formally after each sprint/iteration if you want. Once this is validated it is unlikely to “go bad” even during later code changes Agree with customer to rely on static code analysis from Visual Studio as the one and only coding standard. This has HUUGE benefits - You can easily tweak to reach the level you desire together with customer - It is easy to measure for both developers/management - It is 100% consistent across code base - It gets validated all the time so you never end up getting hammered by a customer review in the end - It is easy to tell the developer that you do not want code back unless it has zero errors = minimize communication You need to track this at least during nightly builds and make sure team sees total # issues. Do not allow #issues it to grow uncontrolled. On the project I run I require code analysis to have run on code before checkin (checkin rule). This means -  You have to have clean compile (or CA wont run) so this is extra benefit = very few broken builds - You can change a few of the rules to compile as errors instead of warnings. I often do this for “missing dispose” issues which you REALLY do not want in your app Tip: Place your custom CA rules files as part of solution. That  way it works when you do branching etc. (path to CA file is relative in VS) Some may argue that CA is not as good as manual inspection. But since manual inspection in reality suffers from the 3 issues in start it is IMO a MUCH better (and much cheaper) approach from helicopter perspective Tirthankar Dutta | Director, Avanade I think code review should be run both before and after check ins. There are some code metrics that are meant to be run on the entire codebase … Also, especially on multi-site projects, one should strive to architect in a way that lets men manage the framework while boys write the repetitive code… scales very well with the need to review less by containment and imposing architectural restrictions to emphasise the design. Bruno Capuano | Microsoft ALM MVP For code reviews (means peer reviews) in distributed team I use http://www.vsanywhere.com/default.aspx  David Jobling | Global Sr. Director, Avanade Peer review is the only way to scale and its a great practice for all in the team to learn to perform and accept. In my experience you soon learn who's code to watch more than others and tune the attention. Mikkel Toudal Kristiansen | Manager, Avanade If you have several branches in your code base, you will need to merge often. This requires manual merging, when a file has been changed in both branches. It offers a good opportunity to actually review to changed code. So my advice is: Merging between branches should be done as often as possible, it should be done by a senior developer, and he/she should perform a full code review of the code being merged. As for detecting architectural smells and code smells creeping into the code base, one really good third party tools exist: Ndepend (http://www.ndepend.com/, for static code analysis of the current state of the code base). You could also consider adding StyleCop to the solution. Jesse Houwing | Visual Studio ALM Ranger I gave a presentation on this subject on the TechDays conference in NL last year. See my presentation and slides here (talk in Dutch, but English presentation): http://blog.jessehouwing.nl/2012/03/did-you-miss-my-techdaysnl-talk-on-code.html  I’d like to add a few more points: - Before/After checking is mostly a trust issue. If you have a team that does diligent peer reviews and regularly talk/sit together or peer review, there’s no need to enforce a before-checkin policy. The peer peer-programming and regular feedback during development can take care of most of the review requirements as long as the team isn’t under stress. - Under stress, enforce pre-checkin reviews, it might sound strange, if you’re already under time or budgetary constraints, but it is under such conditions most real issues start to be created or pile up. - Use tools to catch most common errors, Code Analysis/FxCop was already mentioned. HP Fortify, Resharper, Coderush etc can help you there. There are also a lot of 3rd party rules you can add to Code Analysis. I’ve written a few myself (http://fccopcontrib.codeplex.com) and various teams from Microsoft have added their own rules (MSOCAF for SharePoint, WSSF for WCF). For common errors that keep cropping up, see if you can define a rule. It’s much easier. But more importantly make sure you have a good help page explaining *WHY* it's wrong. If you have small feature or developer branches/shelvesets, you might want to review pre-merge. It’s still better to do peer reviews and peer programming, but the most important thing is that bad quality code doesn’t make it into the important branch. So my philosophy: - Use tooling as much as possible. - Make sure the team understands the tooling and the importance of the things it flags. It’s too easy to just click suppress all to ignore the warnings. - Under stress, tighten process, it’s under stress that the problems of late reviews will really surface - Most importantly if you do reviews do them as early as possible, but never later than needed. In other words, pre-checkin/post checking doesn’t really matter, as long as the review is done before the code is released. It’ll just be much more expensive to fix any review outcomes the later you find them. --- I would love to hear what you think!

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  • Google Analytics - Google Adwords [closed]

    - by Fiona
    Hi there, I have a number of Google Analytics accounts. I also have one adwords account. At the moment I've linked my adwords to one of my GA accounts. However I'd like to link to my other GA accounts. Can this be done? and if so how? Thanks, Fiona

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